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Exam Readiness: AWS Certified Data Analytics - Specialty

Offered By: Amazon Web Services via AWS Skill Builder

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AWS Certified Data Analytics Courses Data Analysis Courses AWS Certification Courses

Course Description

Overview

The AWS Certified Data Analytics – Specialty exam validates technical skills and experience in designing and implementation AWS services to derive value from data. This course helps you prepare for the exam by exploring the exam’s topic areas and familiarizing you with the question style and exam approach. The course reviews sample exam questions in each topic area and teaches you how to interpret the concepts being tested so you can more easily eliminate incorrect responses.


The course addresses each of the exam’s content domains:

  • Data collection systems
  • Storage and data management concerns
  • Data processing solutions
  • Analysis and visualization of analytical data
  • Security of the data analysis system


Intended Audience

This course is intended for:

  • IT professionals
  • Data platform engineers/data architects
  • Data scientists
  • Data analysts
  • Solutions architects


Course Objectives

In this course, you will learn how to:

  • Navigate the logistics of the examination process
  • Understand the exam structure and question types
  • Identify how questions relate to AWS data analytics concepts
  • Interpret the concepts being tested by exam questions
  • Develop a personalized study plan to prepare for the exam


Prerequisites

We recommend that attendees of this course have the following prerequisites:

  • AWS Certified Cloud Practitioner or an Associate-level AWS certification
  • Five or more years of hands-on experience working with complex data analytics processes and analysis solutions on AWS


Delivery Method

This course is delivered through:

  • Digital training


Duration

  • 3.5 hours


Course Outline

This course covers the following concepts:

  • Testing center information and expectations
  • Exam overview and structure
  • Question structure and interpretation techniques
  • Deep dive into exam domains, including practice exam questions

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